Development of an Integrated Intelligent Structural Monitoring System

本项目将针对结构特性不确定、容易遭受地震灾害的建筑物、桥梁、水坝等土木建筑物的监测系统开发进行研究。 这种智能结构监测系统将作为由三个主要软件模块组成的集成单元开发，这些模块将与物理土木结构接口：决策支持子系统（专家系统），识别子系统和鲁棒控制子系统。 这些模块将实时相互作用。 决策支持子系统将采用先进的损害评估技术，以确定是否需要采取纠正控制措施。 识别子系统将确保以适当的可接受时间间隔更新结构和控制装置的（数学）模型。 鲁棒控制子系统将根据更新的结构模型和选定的性能目标实际合成控制器。 这些目标将通过适当使用先进的控制装置来实现，如主动钢筋束、主动变刚度系统、主动质量阻尼器、主动基础隔震器等，或这些装置的组合。 本计画的主要目标为：（1）发展一个先进的专家系统，利用遥测资料来推断结构损伤的存在、位置与程度。(2)建立系统识别软件工具，能够在参数不确定性的情况下实时可靠地建立和更新结构模型;（3）研究并采用鲁棒控制技术，能够在不完全信息错误数据或控制设备故障的情况下满足性能目标;（4）将专家、识别和鲁棒控制子系统集成到单个智能监控系统中;及（5）透过模拟研究，探讨该系统的运作效能及可靠性，并就实际的现场部署提出建议。

This project will carry out research toward development of monitoring systems for civil structures such as buildings, bridges and dams with uncertain structural properties and which are subject to seismic hazard. Such a Intelligent Structural Monitoring System will be developed as an integrated unit consisting of three principal software modules, which will be interfaced with the physical civil structure: a Decision Support Subsystem (an expert system), an Identification Subsystem, and a Robust Control Subsystem. These modules will interact with each other in real-time. The Decision Support Subsystem will employ advanced damage assessment technology to determine whether corrective control action is necessary. The Identification Subsystem will ensure that the (mathematical) models of the structure and control devices are updated at appropriate acceptable time intervals. The Robust Control Subsystem will actually synthesize the controller based on the updated structural model and chosen performance objectives. These objectives will be achieved by appropriate use of advanced control devices such as active tendons, active variable stiffness systems, active mass dampers, active base isolators, and others, or combinations of these. The main objectives of this proposal are: (1) develop a state-of-the-art expert system capable of inferring the existence, location and extent of structural damage, with remote data sensoring. (2) build system identification software tools capable of reliably building and updating structural models in presence of parameter uncertainties in real-time; (3) study and incorporate robust control techniques capable of meeting performance objectives in presence of incomplete information erroneous data, or control device failures; (4) to integrate the expert, identification and robust control subsystems into a single intelligent monitoring system; and (5) investigate the performance and the reliability of operation of such a system through simulation studies, and to make recommendations for its practical on-site deployment.